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by stedalus
3354 days ago
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Your Python example doesn't really support your argument. Python succeeded for data analysis and scientific computing in part because it provided easy access to existing numerical libraries written in C and Fortran. So you got the best of both worlds: ease of use and near-native speed. It would not have succeeded if everything was done in interpreted Python. |
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And still when we want actual speed we port it to C++ or at least need to use Cython.